SciencePlots
orange
SciencePlots | orange | |
---|---|---|
8 | 27 | |
6,471 | 4,611 | |
- | 0.9% | |
5.9 | 9.6 | |
3 months ago | 8 days ago | |
Python | Python | |
MIT License |
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SciencePlots
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Lets-Plot: An open-source plotting library by JetBrains
This seems quite similar to plotnine [0], which also provides a grammar of graphics interface for Python. That said, I love ggplot and I can't wait to use this in my research! I hope we can port/re-implement ggthemes, scientificplots [1], and other ggplot libraries for lets-plot.
0: https://plotnine.readthedocs.io/en/stable/
1: https://github.com/garrettj403/SciencePlots
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Resources for data visualization (free & paid) for scientific publications
What is it about matplotlib that you object to? If itβs just the number of commands needed to get it right, you can look at something like https://github.com/garrettj403/SciencePlots that will get you most of the way.
- Matplotlib Styles for Scientific Plotting
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LovelyPlots
I know a lot of academics that do, but wouldn't recommend it personally. Also, there is https://github.com/garrettj403/SciencePlots
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Struggling with Python
Seeing as you're doing bioinformatics, I recommend Juptyer notebooks and pandas if you're not already. The pandas documentation is very extensive which is helpful. I also recommend SciencePlots for publication quality plots.
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Using Python (and matplotlib) for plotting in academia
I have also found SciencePlots. Should I use this in addition to cmcrameri?
- Matplotlib style library for Scientific plots
orange
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Hierarchical Clustering
I know I've tooted its horn before, but Orange3 is a pretty neat Python-based GUI platform that makes this and a metric buttload of other statistical/ML techniques available to non-programmer types.
Just watch out for null character `x00` in the corpus. That always seems to kill it stone dead.
https://orangedatamining.com/
https://orange3.readthedocs.io/projects/orange-visual-progra...
- Orange Data Mining
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The Graph of Wikipedia [video]
For all you folks who aren't ace programmer types, the Orange3[1] platform gives you a very miniaturized[2] ability to turn out these sorts of visualizations very rapidly. It's not the most stable thing in the world, but the node-based ML workflow designer is worth the price of admission all by itself.
[1] https://orangedatamining.com/
[2] The Wikipedia extension in Text limits each search result to 25 articles, so sucking all of Wikipedia is . . well, Orange text analytics crashes when I look at it sideways with a null character, so let's not think about what would happen.
- Ask HN: What Underrated Open Source Project Deserves More Recognition?
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Taxonomy Management?
First is identifying the "similar" things in a corpus. Best way I know to do that, for non-programmer audiences, is the Orange Data Mining tool, which gives you a node-based text mining interface to perform statistical analysis on text. Hierarchical Clustering shows - very rapidly - how similar your "modules" are, which ones are most similar. There's many other techniques (semantic viewer, similarity hash, etc) as well - the right one will depend on how your content is laying about.
- Orange: Open-source machine learning and data visualization
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What exactly is AutoGPT?
Both tools are ripoffs of a data mining framework named Orange 3
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Why don't more people use Altair for python Visualizations instead of Plotly?
You should also check out Orange Data Mining, it allows to create a lot of charts, filter data from a chart to another, build ML models, predictions and a lot more. And you can do it with zero code.
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Advice on Transitioning to Data Science/ML/AI without Coding Experience
You can start with a free GUI based tool Orange. It is a component based data science workflow tool, which you can use to handle 60-75% of the traditional data science tasks from classification, regression, to basic neural networks.
- Has anybody used Orange?
What are some alternatives?
paperetl - π βοΈ ETL processes for medical and scientific papers
glue - Linked Data Visualizations Across Multiple Files
paperai - π π€ Semantic search and workflows for medical/scientific papers
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
dufte - :chart_with_upwards_trend: Minimalistic Matplotlib style
RDKit - The official sources for the RDKit library
daltonize - Simulate and correct images for dichromatic color blindness
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
sane_tikz - Reconquer the canvas: beautiful Tikz figures without clunky Tikz code
Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python
VSCode-LaTeX-Inkscape - βοΈ A way to integrate LaTeX, VS Code, and Inkscape in macOS
NumPy - The fundamental package for scientific computing with Python.